AI Engineer, AI Analyst

Light & Wonder

AI Engineer/Analyst developing and scaling AI solutions for business impact at Light & Wonder. Collaborate across teams to innovate AI governance and implementation within the organization.

Posted 6/10/2026full-timeChiswick • Illinois, Nevada, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudJavaScriptNode.jsPythonTypeScript

About the role

Key responsibilities & impact

Explore and evaluate emerging AI tools, platforms, and agent-based solutions to identify opportunities for the business.
Design, build, and integrate AI-powered workflows, services, and applications into enterprise systems.
Help shape and develop internal AI platforms, including agent architectures, permissions, and governance guardrails.
Guide AI initiatives through structured evaluation and approval processes, ensuring alignment with technical and governance standards.
Collaborate with teams across Architecture, Security, DevOps, Legal, Privacy, and the wider business to deliver well-rounded AI solutions.
Translate complex or ambiguous business needs into clear technical requirements, success metrics, and deliverables.
Monitor performance, adoption, and usage of AI solutions, identifying trends, risks, and opportunities for optimisation.
Maintain clear documentation, including AI use cases, tool registries, and lifecycle records, ensuring audit-ready standards.
Support the development of a centralised AI knowledge base to drive consistency and accelerate adoption across teams.
Contribute to continuous improvement of AI governance, development practices, and delivery frameworks.

Requirements

What you’ll need

Experience across software engineering, AI/ML, or related enterprise technology environments.
Strong hands-on development skills (e.g., Python and/or TypeScript/Node.js), with experience building APIs, services, and integrations.
Practical experience working with Generative AI and LLM-based applications (e.g., agents, embeddings, prompt design, RAG architectures).
Familiarity with leading AI platforms and models (e.g., OpenAI, Anthropic, Microsoft Copilot, Google Gemini, or similar cloud AI services).
An understanding of how to design and orchestrate AI-driven workflows or automation solutions within business environments.
A structured and analytical mindset, with the ability to turn complex ideas into clear, actionable outputs.
Strong documentation and organisational skills, with attention to detail and an ability to create audit-ready artefacts.
Awareness of governance, risk, and compliance concepts, particularly in relation to AI, data, and security.
Solid understanding of modern development practices (e.g., Git, CI/CD, cloud environments, containerisation).
Strong communication skills, with the ability to collaborate effectively across technical and non-technical stakeholders.
A proactive, curious mindset and a passion for staying up to date in the rapidly evolving AI landscape.

Benefits

Comp & perks

Annual performance bonus
25 days' holiday plus bank holidays
Hybrid working (3 days a week in the office)
1 day paid leave to work on charitable projects
1 day paid for personal celebration e.g. birthdays
Half Day for Health (encouraging you to take time away for you & your wellbeing)
Up to 8% employer pension contributions
A reward platform offering a cycle to work scheme and shopping and lifestyle discounts/cashback
Remote GP Access
Private Medical Insurance
Elective Benefits: Tastecard/ Travel/Dental Insurance/ Give As You Earn
Study Support
Employee Assistance Programme (EAP)

ATS Keywords

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Hard Skills & Tools

PythonTypeScriptNode.jsAPIsGenerative AILLM-based applicationsRAG architecturesGitCI/CDcontainerisation

Soft Skills

analytical mindsetdocumentation skillsorganisational skillsattention to detailcommunication skillscollaborationproactive mindsetcuriosity